基于信息融合的太阳电池阵列故障研究  

Research on fault of solar cell array based on information fusion

作　　者：周文谊[1] 黄隆胜[2] 郑成博 

机构地区：[1]江西环境工程职业学院,江西赣州341000 [2]赣南师范大学物理与电子信息学院,江西赣州341000 [3]赣州佳源太阳能科技有限公司,江西赣州341000

出　　处：《电源技术》2016年第12期2385-2387,共3页Chinese Journal of Power Sources

基　　金：2015年度江西省科技厅教育研究项目(ITE12144)

摘　　要：主要根据不同工作状态下太阳电池的温度明显不同这一特点,并结合信息融合技术和模糊推理方法对太阳能光伏阵列的工作状态进行自动识别与分析。首先对光伏阵列的红外图像进行预处理,对其中可能的故障区域及其特征信息进行提取,综合考虑环境因素对图像产生的影响,并结合信息融合技术和模糊推理方法自动识别光伏阵列中太阳电池的工作状态。研究结果表明,通过采用的实验方法可很好地对太阳能光伏阵列中组件的正常、老化、损坏、遮挡等工作状态进行识别。The working condition of photovoltaic array was automatic recognized and analyzed according to the characteristic of the solar cell＇s temperature in different work condition and combining the technology of information fusion and fuzzy inference method. Firstly, the infrared image of the photovoltaic array was preprocessed and the possible fault zone and its characteristic information was extracted, the impact of environmental factors on the image was considered. The working state of the solar cells in photovoltaic array was automatically identified combining the technology of information fusion and fuzzy inference. The results show that it is a good method to recognize the condition such as normal, aged, damaged and shade of the solar photovoltaic array.

关 键 词：光伏阵列 信息融合 模糊推理 红外图像 工作状态 

分 类 号：TM914[电气工程—电力电子与电力传动]